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Nvidia open-sources Flora robot video labeling system, claims 125x cheaper than GPT-6 Astra

1 reports1 sources10/25/2026 updated

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Nvidia has open-sourced Flora, a robot video labeling system built on three fine-tuned Qwen3.5 models handling action segmentation, description generation, and reward evaluation. The system claims to reduce labeling costs from $88 per hour to 72 cents, positioning itself as 125 times cheaper than GPT-6 Astra. The Decoder reports this development as a significant cost-reduction breakthrough in robotics perception.

Written with AI from the reporting · updated 10/25/2026

Latest developmentOct 25, 18:08
Nvidia open-sources Flora to make robot video labeling 125x cheaper than GPT-6 Astra
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  1. 1Unclassified fact stationOct 25, 00:00recorded Oct 25, 18:54single sourcerevised

    Nvidia开源Flora机器人视频标注系统

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    Evidence & revisions · 1 source records
    Subject：
    nvidia
    Action：
    开源Flora系统
    Object：
    机器人视频标注系统
    Occurred (fact side)：
    Oct 25, 00:00
    The Decoder ↗Report pageRevision 2 · currently revised
    Published (valid side)：
    Oct 25, 18:08
    First seen (known side)：
    Oct 25, 18:54
    Fact stationSingle source · one-sided claimRevised

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Oct 25
  1. The DecoderRelated fact: single sourceSource report revised
    Nvidia open-sources Flora to make robot video labeling 125x cheaper than GPT-6 Astra

    Report first recorded Oct 25, 18:54

    Nvidia has open-sourced Flora, an engine that automates robot video labeling using three fine-tuned Qwen3.5 models. The system breaks videos into time segments, describes actions, and evaluates execution and outcomes. In a test of 50 videos, Flora achieved 57.1 percent annotation quality at 72 cents per hour, compared to GPT-6 Astra's 53.7 percent at $88.49 per hour. Nvidia states the system is already running during training of its GR00T models, annotating up to 200,000 hours of video per day across 512 GB300 GPUs. The models are available on Hugging Face.

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